top of page

Integration First: Creating distributed enterprise systems

Explore how to we intend to create enterprise systems that have an inherent capability to exchange data and aggregate it for reporting and AI. 

We are currently integrating a standardized industry model into the core model that has many thousands of tables and attributes.  This will allow us to demonstrate how the model can support large complex business models while allowing all organizations to tailor the systems to their unique needs and maintain an ability to automatically exchange data.

Problem Statement

The IT industry has significant challenges integrating systems and aggregating data for reporting and AI.

The root cause of the problem is that we create systems with personal preferences and then try to integrate them with other systems. It is known as an integration last approach.

The more systems we attempt to integrate with the more challenging it becomes.

The problem with integration is only getting worse as more organizations select cloud-based systems.  Furthermore, the demands for integration and aggregating data are increasing all the time.

Integration First


Create systems based on agreed principles that simplify integration.


Implement enterprise systems that can be networked together to address needs of conglomerates


Make the platform open-source so it can be expanded upon.


Educate and certify members on the methodology and platform

A distributed architecture for enterprise systems will allow us to tackle insurmountable challenges.

A distributed architecture for enterprise systems has the potential to revolutionize the way large and complex organizations, such as the government, address their operational needs.

An enterprise system can be implemented for each business unit that is customized to their unique needs and is capable of exchanging all types of data with other business units. 

Conglomerates can automatically aggregate data from all business unit systems for reporting and AI.


To create an enterprise system platform that:


  • can be extended to meet unique needs.

  • has an inherent capability to exchange data.

  • can automatically aggregate data for AI.

Are you ready to learn about the next paradigm in enterprise system development?

This approach aims to solve the growing challenge of integrating business software systems by creating systems from the ground up with inherent capabilities to exchange data using an open-source platform. This approach provides several benefits, such as

  • the ability to aggregate data for AI.

  • improved data accuracy and consistency.

  • reduced costs.

  • scalability for conglomerate systems

The approach will be of interest to architects interested in advancing their careers and executives interested in a new approach to their organization's systems

bottom of page